2 papers
stat.ML2020
Random Machines Regression Approach: an ensemble support vector regression model with free kernel choice
Anderson Ara, Mateus Maia, Samuel Macêdo +1
Machine learning techniques always aim to reduce the generalized prediction error. In order to reduce it, ensemble methods present a good approach combining several models that res…
stat.ML2019
Random Machines: A bagged-weighted support vector model with free kernel choice
Anderson Ara, Mateus Maia, Samuel Macêdo +1
Improvement of statistical learning models in order to increase efficiency in solving classification or regression problems is still a goal pursued by the scientific community. In…